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GE Brilliant Hacks
Webinar - March 7, 2017
Competition Info
Website: http://brilliantmanufacturing.devpost.com
Key Dates:
March 21, 5PM ET: Idea submission deadline for an app, extension,
or data visualization
March 27 Top 30 ideas receive hackathon-specific Predix access
May 8, 5PM ET: Build submission deadline into a functioning solution
Prizes: $50,000 in cash and prizes
How to Enter
WIP Manager
1
Symptoms where you may have a WIP problem
2
1.Without walking the shop floor, no one or few people know where
the orders are in the plant.
2.My WIP is high because no one or few people know when orders will
be processed by work centers.
3.Operators work on the easiest orders first, I have no way to re-
prioritize orders in real-time. (FIFO method, by customer)
4.Indirect labor is high due to lack of coordination of material
management.
5.My plant floor is crammed with materials for future orders or I have
significant “Starve” downtime where required materials aren’t
present for orders.
6.It is hard to visualize capacity versus actual queues.
Efficiency Analyzer
3
Efficiency Analyzer
Customer pain points
• Fragmented data & manual data collection
• Lack basic visibility
• Old equipment or machines
• Need simple information on downtime,
performance, productivity, and efficiency
• Unlock the hidden factory
Value Proposition
• Transform real-time machine data into
actionable production metrics to reduce
unplanned downtime, maximize yield and
increase equipment utilization
Outcomes
• Increased Productivity
• Downtime visibility
• Improved decision support
• Line and Plant wide visibility
• Low TCO (IT/OT support cost)
• Very low H/W infrastructure footprint (hosted
SaaS model)
• Universal access / device independent
(iPad/Laptop/TVs)
Target Customers
• Discrete
• Hybrid
• Continuous
Verticals
• Heavy Industrial
• Machinery
• Aerospace
• F&B/CPG
• Automotive
Enterprise Plant Insights
5
Enterprise Plant Insights
• FRAGMENTED AND UNTAPPED DATA
• LACK OF VISIBILITY ACROSS PROCESSES
• OUTDATED INFORMATION
• PRONE TO HUMAN ERRORS
• LACK OF BROAD ACCESS TO SHOP
FLOOR INFORMATION
• INFORMATION IN SILOS
• DIFFICULT TO SEE INFORMATION IN TIME
TO ACCOMMODATE CHANGES
• POOR USER EXPERIENCE
DECISION
MAKERS
Plant Mgr
CIO, COO
VP Mfg, VP Ops
USERS
OPERATORS
LINE SUPERVISORS
QUALITY & MAINTENANCE
PROCESS ENGINEERS
6
© 2016 General Electric Company - All rights reserved
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Developer Resources
On the Resources tab:
https://brilliantmanufacturing.devpost.com/details/resources
Q&A?
Email us at support@devpost.com
Join our Brilliant Manufacturing Slack channel
https://brilliantmanufacturing.devpost.com/details/slack
Post on the discussion forum
https://brilliantmanufacturing.devpost.com/forum_topics

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GE Brilliant Manufacturing Webinar

  • 1. GE Brilliant Hacks Webinar - March 7, 2017
  • 2. Competition Info Website: http://brilliantmanufacturing.devpost.com Key Dates: March 21, 5PM ET: Idea submission deadline for an app, extension, or data visualization March 27 Top 30 ideas receive hackathon-specific Predix access May 8, 5PM ET: Build submission deadline into a functioning solution Prizes: $50,000 in cash and prizes
  • 5. Symptoms where you may have a WIP problem 2 1.Without walking the shop floor, no one or few people know where the orders are in the plant. 2.My WIP is high because no one or few people know when orders will be processed by work centers. 3.Operators work on the easiest orders first, I have no way to re- prioritize orders in real-time. (FIFO method, by customer) 4.Indirect labor is high due to lack of coordination of material management. 5.My plant floor is crammed with materials for future orders or I have significant “Starve” downtime where required materials aren’t present for orders. 6.It is hard to visualize capacity versus actual queues.
  • 7. Efficiency Analyzer Customer pain points • Fragmented data & manual data collection • Lack basic visibility • Old equipment or machines • Need simple information on downtime, performance, productivity, and efficiency • Unlock the hidden factory Value Proposition • Transform real-time machine data into actionable production metrics to reduce unplanned downtime, maximize yield and increase equipment utilization Outcomes • Increased Productivity • Downtime visibility • Improved decision support • Line and Plant wide visibility • Low TCO (IT/OT support cost) • Very low H/W infrastructure footprint (hosted SaaS model) • Universal access / device independent (iPad/Laptop/TVs) Target Customers • Discrete • Hybrid • Continuous Verticals • Heavy Industrial • Machinery • Aerospace • F&B/CPG • Automotive
  • 9. Enterprise Plant Insights • FRAGMENTED AND UNTAPPED DATA • LACK OF VISIBILITY ACROSS PROCESSES • OUTDATED INFORMATION • PRONE TO HUMAN ERRORS • LACK OF BROAD ACCESS TO SHOP FLOOR INFORMATION • INFORMATION IN SILOS • DIFFICULT TO SEE INFORMATION IN TIME TO ACCOMMODATE CHANGES • POOR USER EXPERIENCE DECISION MAKERS Plant Mgr CIO, COO VP Mfg, VP Ops USERS OPERATORS LINE SUPERVISORS QUALITY & MAINTENANCE PROCESS ENGINEERS 6 © 2016 General Electric Company - All rights reserved Confidential. Not to be copied, distributed, or reproduced without prior approval.
  • 10. Developer Resources On the Resources tab: https://brilliantmanufacturing.devpost.com/details/resources
  • 11. Q&A? Email us at support@devpost.com Join our Brilliant Manufacturing Slack channel https://brilliantmanufacturing.devpost.com/details/slack Post on the discussion forum https://brilliantmanufacturing.devpost.com/forum_topics